Uncertainty modeling using intuitionistic fuzzy numbers

Introduction/purpose: The paper discusses the selection of the most optimal supplier using the example of an unmanned aircraft when the decision maker has data of a qualitative nature. Problems that arise in practice in the selection of suppliers relate to the selection of adequate criteria as w...

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Autores principales:	Vladimir R. Milovanović, Aleksandar V. Aleksić, Vlada S. Sokolović, Marjan A. Milenkov
Formato:	article
Lenguaje:	EN
Publicado:	University of Defence in Belgrade 2021
Materias:	fuzzy logic fuzzy set intuitionistic fuzzy set if electre method Military Science U Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/c0adf021a69e4591addefbe71bb9bc54
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spelling	oai:doaj.org-article:c0adf021a69e4591addefbe71bb9bc542021-11-07T14:23:17ZUncertainty modeling using intuitionistic fuzzy numbers10.5937/vojtehg69-333010042-84692217-4753https://doaj.org/article/c0adf021a69e4591addefbe71bb9bc542021-10-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/0042-8469/2021/0042-84692104905M.pdfhttps://doaj.org/toc/0042-8469https://doaj.org/toc/2217-4753Introduction/purpose: The paper discusses the selection of the most optimal supplier using the example of an unmanned aircraft when the decision maker has data of a qualitative nature. Problems that arise in practice in the selection of suppliers relate to the selection of adequate criteria as well as the way they are evaluated by the decision maker. One of the ways of assessing the criteria of a qualitative character is the usage of linguistic expressions, which gives decision makers the freedom to express their position and opinion through descriptive assessments. This method of assessment is not the most accurate and can introduce a certain amount of uncertainty for the decision maker. Methods: To solve the problem of uncertainty, the paper proposes a method of modeling data using intuitive fuzzy numbers. Intuitive fuzzy numbers are suitable for solving the problem of uncertainty in situations when it is necessary to review safety during the assessment. To rank suppliers, the ELECTRE method is used, which is adapted to intuitive fuzzy numbers (IF ELECTRE). The IF ELECTRE method was chosen because it clearly presents the potential of all suppliers, i.e. their advantages and disadvantages in relation to the required criteria. Results: Using IF ELECTRE, the final results provide a shape of mutual preference or indifference between suppliers. The ranking clearly shows the potential of all suppliers, which in a future procurement can serve as a reference for decision making. Conclusion: The contribution of this paper is reflected in the proposed model that can be used in practice to solve not only the problem of supplier selection, but also similar problems where the decision is made based on inaccurate data. Using these models seeks to reduce indecision and subjectivity in decision making.Vladimir R. MilovanovićAleksandar V. AleksićVlada S. SokolovićMarjan A. MilenkovUniversity of Defence in Belgradearticlefuzzy logicfuzzy setintuitionistic fuzzy setif electre methodMilitary ScienceUEngineering (General). Civil engineering (General)TA1-2040ENVojnotehnički Glasnik, Vol 69, Iss 4, Pp 905-929 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fuzzy logic fuzzy set intuitionistic fuzzy set if electre method Military Science U Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	fuzzy logic fuzzy set intuitionistic fuzzy set if electre method Military Science U Engineering (General). Civil engineering (General) TA1-2040 Vladimir R. Milovanović Aleksandar V. Aleksić Vlada S. Sokolović Marjan A. Milenkov Uncertainty modeling using intuitionistic fuzzy numbers
description	Introduction/purpose: The paper discusses the selection of the most optimal supplier using the example of an unmanned aircraft when the decision maker has data of a qualitative nature. Problems that arise in practice in the selection of suppliers relate to the selection of adequate criteria as well as the way they are evaluated by the decision maker. One of the ways of assessing the criteria of a qualitative character is the usage of linguistic expressions, which gives decision makers the freedom to express their position and opinion through descriptive assessments. This method of assessment is not the most accurate and can introduce a certain amount of uncertainty for the decision maker. Methods: To solve the problem of uncertainty, the paper proposes a method of modeling data using intuitive fuzzy numbers. Intuitive fuzzy numbers are suitable for solving the problem of uncertainty in situations when it is necessary to review safety during the assessment. To rank suppliers, the ELECTRE method is used, which is adapted to intuitive fuzzy numbers (IF ELECTRE). The IF ELECTRE method was chosen because it clearly presents the potential of all suppliers, i.e. their advantages and disadvantages in relation to the required criteria. Results: Using IF ELECTRE, the final results provide a shape of mutual preference or indifference between suppliers. The ranking clearly shows the potential of all suppliers, which in a future procurement can serve as a reference for decision making. Conclusion: The contribution of this paper is reflected in the proposed model that can be used in practice to solve not only the problem of supplier selection, but also similar problems where the decision is made based on inaccurate data. Using these models seeks to reduce indecision and subjectivity in decision making.
format	article
author	Vladimir R. Milovanović Aleksandar V. Aleksić Vlada S. Sokolović Marjan A. Milenkov
author_facet	Vladimir R. Milovanović Aleksandar V. Aleksić Vlada S. Sokolović Marjan A. Milenkov
author_sort	Vladimir R. Milovanović
title	Uncertainty modeling using intuitionistic fuzzy numbers
title_short	Uncertainty modeling using intuitionistic fuzzy numbers
title_full	Uncertainty modeling using intuitionistic fuzzy numbers
title_fullStr	Uncertainty modeling using intuitionistic fuzzy numbers
title_full_unstemmed	Uncertainty modeling using intuitionistic fuzzy numbers
title_sort	uncertainty modeling using intuitionistic fuzzy numbers
publisher	University of Defence in Belgrade
publishDate	2021
url	https://doaj.org/article/c0adf021a69e4591addefbe71bb9bc54
work_keys_str_mv	AT vladimirrmilovanovic uncertaintymodelingusingintuitionisticfuzzynumbers AT aleksandarvaleksic uncertaintymodelingusingintuitionisticfuzzynumbers AT vladassokolovic uncertaintymodelingusingintuitionisticfuzzynumbers AT marjanamilenkov uncertaintymodelingusingintuitionisticfuzzynumbers
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Uncertainty modeling using intuitionistic fuzzy numbers

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